WolframAlpha LLM
This MCP server implementation provides a bridge to WolframAlpha's LLM API, enabling AI assistants to leverage WolframAlpha's computational knowledge engine for complex mathematical and scientific queries. Developed by Garoth, it offers tools for asking questions, getting simplified answers, and validating API keys. The server is built using TypeScript and integrates with the Model Context Protocol SDK. It focuses on structured, LLM-friendly responses and supports both detailed and simplified outputs. This implementation is particularly useful for AI applications requiring advanced computational capabilities, data analysis, or access to WolframAlpha's vast knowledge base across various scientific and mathematical domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/garoth/wolframalpha-llm-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve WolframAlpha LLM from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.